Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model Solution 02
In this video, we will cover ManyToMany model solution 02. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model Exercise 01
In this video, we will cover ManyToMany model exercise 01. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Data Mapping
In this video, we will cover data mapping. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - TensorFlow: TensorFlow Text Classification Example using RNN
In this video, we will cover TensorFlow text classification example using RNN. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: Vectorizer
In this video, we will cover Vectorizer. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Rank
In this video, we will cover Rank. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Positive Semi Definite Matrix
In this video, we will cover a positive semi definite matrix. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Orthonormal Basis
In this video, we will cover Orthonormal Basis. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Matrix Product
In this video, we will cover Matrix Product. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Linear Independence
In this video, we will cover linear independence. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Linear Combinations
In this video, we will cover linear combinations. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Introduction to Mathematical Foundation of Feature Selection
In this video, we will cover an introduction to mathematical foundation of feature selection. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Coordinates Versus Dimensions
In this video, we will cover coordinates versus dimensions. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Basis and Dimensions
In this video, we will cover basis and dimensions. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Classification Prediction Probabilities Exercise Solution
In this video, we will cover classification prediction probabilities exercise solution. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
TMW Media
Momentum And Impulse: Momentum
What is the equation for momentum? Why is this equation useful? Momentum And Impulse, Part 1
Math Fortress
Calculus III: The Dot Product (Level 1 of 12)
This video goes over the dot product also known as the scalar product. This video covers the geometric interpretation of the dot product by going over 5 distinct cases where the angle between the vectors varies.
Schooling Online
Physics Kinematics: Motion in a Straight Line - Graphical Vector Addition and Subtraction
Vector Man has gotten into deep trouble! Will he need to wait for someone to come and rescue him? This lesson will explain how to graphically add and subtract 2D vectors. Definitions included: resultant, graphical method, scaled vector...
Math Fortress
Calculus III: Two Dimensional Vectors (Level 5 of 13)
This video is a review of Two Dimensional Vectors. This video goes over 12 examples covering vector addition, vector subtraction and scalar multiplication. These problems are solved by using the geometric interpretation of these...
Flipping Physics
AP Physics 1: Linear Momentum and Impulse Review
Review of the topics of Linear Momentum and Impulse covered in the AP Physics 1 curriculum.
Virtually Passed
Projection Vector Proof
How much of vector a is in the direction of vector b? This video contains a formal derivation of the projection vector.
Zach Star
Dear linear algebra students, This is what matrices (and matrix manipulation) really look like
Dear linear algebra students, This is what matrices (and matrix manipulation) really look like
KnowMo
Multiplication of Vectors: Understanding Scalars and Vector Notation
This video is a lecture presentation on the topic of multiplication of vectors. The presenter starts by defining what vectors are and how they are represented using vector notation. The video then goes on to explain how multiplication...
Flipping Physics
Reviewing One Dimensional Motion with the Table of Friends
We get to start our Table of Friends today. Dimensions are your friends and there are so many dimensions to keep track of, so we create our Table of Friends to help us keep track of them. Today's friends have to do with One Dimensional...